基于最优参数区域化方法的西南地区汇流时间修正系数（t）数据（2022年）

以85个西南山区流域的SSFM模型参数t为基础（以点的形式呈现），利用GBM这一最优参数区域化方法，结合能代表水文特征的流域描述符（以网格数据形式呈现，表现为面的形式），成功地将SSFM模型的lnTe参数从点尺度扩展到面尺度。最终，生成了西南地区的SSFM生态水文模型参数数据集。Based on the SSFM model parameter t (presented as point data) of 85 mountainous watersheds in Southwest China, GBM, an optimal parameter regionalization method, was used in combination with watershed descriptors representing hydrological characteristics (presented as areal grid data) to successfully scale the lnTe parameter of the SSFM model from point scale to areal scale. Finally, the SSFM eco-hydrological model parameter dataset for the Southwest region was generated.